In practice the algorithm uniform weights layers 'conv1_1', 'conv2_1', 'conv3_1', 'conv4_1', and 'conv5_1' from VGG  [1]} pre-trained for imagenet classification. Notably this style loss can only capture the magnitude of features present, and their second order interactions.
